AI model comparison
Nemotron 3.5 Super VL vs Hy3
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
NVIDIA
Nemotron 3.5 Super VL
NVIDIA Nemotron 3.5 Super VL is an open multimodal mixture-of-experts model from NVIDIA, with 12B active parameters out of 120B total.
- Input / 1M
- $0.15
- Output / 1M
- $0.50
- Context
- 1.05M
Tencent
Hy3
Hy3 is a 295B-parameter Mixture-of-Experts model from Tencent (21B active, 192 experts with top-8 routing) built for reasoning, agentic workflows, and real-world production use.
- Input / 1M
- $0.13
- Output / 1M
- $0.53
- Context
- 262K
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Hy3
1.0x cheaper for a typical chat
Higher intelligence score
Nemotron 3.5 Super VL
26.5 vs 25.3 on Artificial Analysis
Larger context window
Nemotron 3.5 Super VL
1.05M vs 262K tokens
Newer release
Nemotron 3.5 Super VL
Released October 15, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Coding index
Agentic index
Pricing
Nemotron 3.5 Super VL vs Hy3 API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | ||
|---|---|---|
| Input tokensPer 1M tokens | $0.15 | $0.13 |
| Output tokensPer 1M tokens | $0.50 | $0.53 |
| Cached input (read)Per 1M tokens | $0.02 | $0.03 |
| Cache writePer 1M tokens | Not available | Not available |
What it costs in practice
Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.
Chat message
2K in, 500 out
Coding task
30K in, 4K out
Long document summary
150K in, 2K out
Specs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | ||
|---|---|---|
| Context window | 1.05M tokens | 262K tokens |
| Max output | 236K tokens | 128K tokens |
| Input types | Image, Text, Video | Text |
| Output types | Text | Text |
| Reasoning effort levels | Not available | High, Low, None |
| Default reasoning effort | Not available | High |
| Release date | October 15, 2026 | July 6, 2026 |
Features
Supported features
API features available for each model.
| Metric | ||
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Supported | Supported |
| Stop sequences | Supported | Supported |
| Deterministic seed | Supported | Supported |
| Verbosity control | Not supported | Not supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
- Nemotron 3.5 Super VL vs DeepSeek V4 Pro 0423
- Nemotron 3.5 Super VL vs MiniMax M3
- Nemotron 3.5 Super VL vs Solar Pro 4
- Nemotron 3.5 Super VL vs Gemini 3 Flash Preview
- Nemotron 3.5 Super VL vs MiMo-V2.5-Pro
- Nemotron 3.5 Super VL vs Inkling Small
- Nemotron 3.5 Super VL vs Qwen3.7 Plus
- Nemotron 3.5 Super VL vs Ling 3.0 Flash VL
- Nemotron 3.5 Super VL vs DeepSeek V4 Flash 0423
- Nemotron 3.5 Super VL vs Solar Mini 4
- Hy3 vs DeepSeek V4.1 Flash
- Hy3 vs Step 5 Preview
- Hy3 vs GLM 5.3 Flash
- Hy3 vs MiMo-V2.6-Flash
- Hy3 vs Hy4 preview
- Hy3 vs GPT-6 Luna
- Hy3 vs Claude Opus 5.5
- Hy3 vs GLM 5.3
- Hy3 vs DeepSeek V4 Flash 0731
- Hy3 vs DeepSeek V4 Flash 0423
- Hy3 vs Muse Spark 1.3 Contributor
- Hy3 vs MiniMax M3
- Hy3 vs Solar Mini 4
- Hy3 vs Solar Pro 4
- Hy3 vs DeepSeek V4 Pro 0423
- Hy3 vs Qwen3.8 Flash
- Hy3 vs MiMo-V2.5
- Hy3 vs GPT-6 Luna Pro
- Hy3 vs DeepSeek V3.2
- Hy3 vs MiMo-V2.5-Pro
- Hy3 vs Ling 3.0 Flash
- Hy3 vs Qwen3.7 Plus
- Hy3 vs Grok Build 0.1
- Hy3 vs Ling 3.0 Flash VL
- Hy3 vs Qwen3.6 Plus
- Hy3 vs MiniMax M2.7
- Hy3 vs Grok 4.3
- Hy3 vs Grok 4.20
- Hy3 vs Inkling Small
- Hy3 vs MiniMax M2.5
Our take
Hy3 is 1.0x cheaper for a typical chat. Nemotron 3.5 Super VL scores higher on the Artificial Analysis Intelligence Index (26.5 vs 25.3). Nemotron 3.5 Super VL has the larger context window (1.05M vs 262K tokens). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.
FAQ
Frequently asked questions
Is Nemotron 3.5 Super VL or Hy3 cheaper?
Hy3 is cheaper for a typical chat (2K input tokens and 500 output tokens). Hy3 costs $0.13 per 1M input tokens and $0.53 per 1M output tokens, while Nemotron 3.5 Super VL costs $0.15 per 1M input tokens and $0.50 per 1M output tokens.
Which has a bigger context window, Nemotron 3.5 Super VL or Hy3?
Nemotron 3.5 Super VL supports up to 1.05M tokens of context, compared with 262K for Hy3.
Is Nemotron 3.5 Super VL smarter than Hy3?
On the Artificial Analysis Intelligence Index, Nemotron 3.5 Super VL scores 26.5 and Hy3 scores 25.3, putting Nemotron 3.5 Super VL ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Nemotron 3.5 Super VL and Hy3 at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Nemotron 3.5 Super VL and Hy3 answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Nemotron 3.5 Super VL and Hy3 at the same time. Compare the answers side by side and keep the best one.